April 24, 2014 by Suzanne Elvidge in Data analytics, Data mining, GenoKey news, GenoKey's big data analyses, Healthcare big data analysis

GenoKey mining the data for neuroblastoma risk genotypes

Genome-wide association studies generate huge quantities of genetic data, and it’s not always easy to find the critical linkages to disease amongst the volume of information. Using GenoKey’s data mining technology, Erling Mellerup and a team of European researchers have found a cluster of 24 combinations of genotypes that are

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April 18, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Drug development, Healthcare big data analysis

Liverpool leads the way in big data collaboration for health

The demand for healthcare is rising across the world, which means that costs are climbing. By supporting the shift in emphasis from intervening in illness to promoting health, big data could allow continued improvements in healthcare while managing the spiralling outlay, according to the partners behind the UK’s Liverpool Big

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April 10, 2014 by Suzanne Elvidge in Big data, Data analytics, Data mining

Analysing multiple sets of genomic data

A team of researchers in the US has created a statistical model that brings together different types of genetic data to help learn more about the connection between genetics and disease. Genetic data comes in a number of shapes and sizes, including single nucleotide polymorphisms (SNPs; changes in single bases

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April 04, 2014 by Suzanne Elvidge in Big data, Data analytics, Data mining

Tracking the big data of food could help combat obesity

Supermarket checkouts generate huge amounts of data every day, and it’s generally used to direct marketing to individual shoppers, encouraging them to spend more. However, this data could have a healthier use, as a way to target messages about healthy eating. Diet is a key part of healthy living, and

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